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대기오염 장기 노출의 건강 영향 평가를 위한 표본코호트 자료의 탐색과 처리 방법 제안: 사망을 중심으로
김옥진 ( Okjin Kim ),김선영 ( Sun-young Kim ),권혜영 ( Hye-young Kwon ),김호 ( Ho Kim ) 한국보건정보통계학회(구 한국보건통계학회) 2017 보건정보통계학회지 Vol.42 No.1
Objectives: National-scale cohort studies provided evidence of the association between long-term exposure to air pollution and mortality. Recently, South Korean government created the National Health Insurance Service-National Sample Cohort (NHIS-NSC) which included about one million subjects in 2002 and followed up every year through 2013. We aimed to explore major data issues of NHIS-NSC and to provide plausible suggestions in data processing for cohort studies of long-term air pollution and mortality. Methods: We specified four data issues: tracking failure, address inconsistency, limited address information, and absence of risk factors. Our exploratory analyses clarified data characteristics related to four issues and led us to provide the best options out of several suggestions in data processing to aovid inaccurate risk estimates in subsequent health analyses. Results: Twelve percent of the cohort was lost to follow up for at least one year. We proposed to restrict the study population to cohort members with more than 50% of follow-ups. Although the NHIS-NSC report mentioned some address changes from workplaces to residences in 2005, our exploratory analysis provided little evidence of the change. We concluded that it is not suggestive to consider the change in data processing. The incomplete address information limited to the district level prevents us from estimating individual exposures to air pollution. However, we could compute population-represenative district-level averages by using exposure prediction models. Important individual-level risk factors such as smoking were not available in NHIS-NSC. Our suggestion was to use area-level information from external data or to restrict the study population to a subset who carried out national health examinations. Conclusions: Our extensive investigation of the NHIS-NSC data and constructive suggestions of data handling focusing on cohort studies of air pollution and mortality will help assess the association between long-term exposures to air pollution and health in South Korea.
Young-Rye Kang,Hak-Yong Lee,Jung-Hoon Kim,Dea-In Moon,Min-Young Seo,Sang-Hoon Park,Kwang-Ho Choi,Chang-Ryong Kim,Sang-Hyun Kim,Ji-Hyun Oh,Seong-Wan Cho,Sun-Young Kim,Min-Gul Kim,Soo-Wan Chae,Okjin Kim 한국실험동물학회 2012 Laboratory Animal Research Vol.28 No.1
Yerba Mate, derived from the leaves of the tree, Ilex paraguariensis, is widely-used as a tea or as an ingredient in formulated foods. The aim of the present study was to evaluate the effects of Yerba Mate extract on weight loss, obesity-related biochemical parameters, and diabetes in high-fat diet-fed mice.To this end, by using in vivo animal models of dietary-induced obesity, we have made the interesting observations that Yerba Mate has the ability to decrease the differentiation of pre-adipocytes and to reduce the accumulation of lipids in adipocytes, both of which contribute to a lower growth rate of adipose tissue, lower body weight gain, and obesity. Our data from in vivo studies revealed that Yerba Mate treatment affects food intake, resulting in higher energy expenditure, likely as a result of higher basal metabolism in Yerba Mate-treated mice. Furthermore, in vivo effects of Yerba Mate on lipid metabolism included reductions in serum cholesterol, serum triglycerides, and glucose concentrations in mice that were fed a high fat diet. In conclusion, Yerba Mate can potentially be used to treat obesity and diabetes.